Late-Stage Regulated Data: The Ticking Time Bomb

Email     |     Share  
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9
Next Late-Stage Regulated Data: The Ticking Time Bomb-6 Next

Ability to search and extract

Paying hourly legal fees for someone to mine through massive data sets is costly. Solutions should provide quick, searchable access to reduce these costs. They also should allow for simple and controlled extraction.

The volume of digital information continues to skyrocket. In all its forms, including structured, unstructured, emails and text messages, data is expected to grow by 30,000 percent around the globe by 2020. How will your organization archive and index today's information, along with previous late-stage information, to be readily accessible by users in the decades to come?

Even a corporate giant such as General Motors is acutely aware of these challenges. Congress is asking the company why it took 10 years to recall a defective part that has allegedly led to the deaths of 13 people. This inquiry has broader implications than simply interrogating archived manufacturing systems. It also includes accessing related unstructured operational and regulatory documents along with access to employee email accounts to determine who authorized what changes to which parts, why existing customers were not notified, and what was the chain of command and decision-making process.

Ultimately, corporations are held responsible. What is your company's plan to capture, organize, store, manage and protect disparate data across the enterprise to meet future customer and regulatory requirements? Smart companies are creating strategies and building solutions for intelligent archiving systems.

Even companies operating in regulatory industries continue to store data on dispersed and deteriorating tapes. The risks associated with not properly maintaining archived data can have dire consequences. There also are problems arising from data volume, velocity and variety in the early and middle stages of the lifecycle. What should the enterprise do with late-stage data and how should it be managed?

In this slideshow, Srini Mannava, founder and CEO of Infobelt, a leading developer of information lifecycle management solutions, takes a closer look at the data storage lifecycle and four key features that should be at the core of an intelligent archiving solution.


Related Topics : Fujitsu, Storage Virtualization, Desktop Virtualization, Virtual Tape Library, InfiniBand

More Slideshows

infra97-290x195 7 Tips to Improve Data Backup and Ensure Business Continuity

With today's modern solutions, enterprises should be able to transform backup and recovery from a low-level legacy IT function to a modern function delivering continuity and value to the entire business. ...  More >>

OwnBackupCloudDataRisk0x Top 3 Cloud Backup Dangers and How to Avoid Them

The top three data dangers lurking in cloud environments and tips for how to manage data protection and backup in a SaaS-based world. ...  More >>

infra93-190x128.jpg 5 Ways to Mitigate Costs Associated with Machine Data

To keep up with machine data growth and avoid costs it traditionally incurs, companies need to combine on-premises storage performance and availability with the elasticity and economics of the cloud. ...  More >>

Subscribe to our Newsletters

Sign up now and get the best business technology insights direct to your inbox.